Using tilt to capture human movements and for gesture recognition.
Case study: MOCA - A Low-Power Motion Capture System with Integrated Accelerometers

Motion capture is an emerging technology enabling the design of natural user interfaces for wearable devices based on gestural recognition. However, costs and energy requirements
are critical factors to enable their diffusion to low-end wearable systems. Current commercial products do not match these requirements. For this reason, we developed a low-cost/lowpower wearable motion tracking system based on integrated accelerometers called MOCA (Motion Capture with Accelerometers).
Our system is composed by sensing units connected to a control/acquisition board responsible for reading and preprocessing data and a mobile terminal running the recognition
algorithm. Experiments performed to validate accuracy, power consumption and real-time performance demonstrate low-power and flexibility features of the proposed tracking system as well as its effectiveness as input interface. We used the system for navigation in virtual spacesand in a 3D game application as a test-bed to evaluate the effectiveness of the interface.

Related papers

Barbieri R., Farella E., Benini L. MOCA Project: MOtion Capture with Accelerometers, April 2003 in Design-In, VII- 5/2003, pp. 9-10.

Barbieri R., Farella E., Acquaviva A., Benini L., Riccò B. A Low-Power Motion Capture System with Integrated Accelerometers in Proceedings of IEEE CCNC04, Las Vegas, January 2004

Farella E., Acquaviva A., Benini L., Riccò B. MOCA : A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers submitted for publication

Farella E., Acquaviva A., Benini L., Riccò B."A wearable gesture recognition system for natural navigation interfaces" in Proceedings of EUROMEDIA2005, Toulouse, 11-13 April 2005

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